flimview
Conda Installation
First create a python 3 conda environment
conda create -n flimview python=3 -y
To activate such environment
conda activate flimview
To install the need requirements
conda install -y -c conda-forge jupyterlab ipywidgets nodejs
To enable the widgets
jupyter labextension install @jupyter-widgets/jupyterlab-manager
and finally to install flimview from github
pip install git+https://github.com/Biophotonics-COMI/flimview.git --upgrade
Optional Packages
To run few things in parallel and other analysis you can install a few more packages
pip install scikit-image dask[complete] dask-jobqueue --upgrade
Example data
To get the example data run:
from flimview import datasets
# Get SDT example file
datasets.fetch_sdt()
# Get PTU file
datatsets.fetch_ptu()
Examples
Check the notebooks examples here
Development
To contribute to this package, first clone it:
git clone https://github.com/Biophotonics-COMI/flimview.git
Then inside flimview
pip install -e .
Metadata
Release files for flimview 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| flimview-1.2.0.tar.gz | 17.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| flimview-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.2 kB
Release files / flimview-1.2.0.tar.gz
| Download URL | flimview-1.2.0.tar.gz |
|---|---|
| Size | 17.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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Release files / flimview-1.2.0-py3-none-any.whl
| Download URL | flimview-1.2.0-py3-none-any.whl |
|---|---|
| Size | 17.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
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